GDA delivers in season global agriculture crop yield forecasts at national and sub-national levels. In comparison to typical agricultural crop statistics products, based on surveys and sampling,  GDA's yield forecasts are based on satellite data that is collected at every point on the globe twice a day and allows for inspectioncrop field of 100% of the crop lands under investigation. Supported by a proprietary global crop statistics database that includes the current data from across the globe as well as the historical statistics for the past 10 years, GDA has developed its own methodologies and algorithms for providing a timely, highly accurate end of season yield forecast system. Combining our global yield forecast, global crop condition monitoring and the fact that GDA is the only commercial vendor to cost effectively utilize medium and high resolution satellite imaging on a global scale, GDA provides our customers with comprehensive, timely and accurate agribusiness crop intelligence that has not been available until now. Access further details on GDA's technology advantages here.

GDA specializes in the operational delivery of analytical intelligence that improves the timeliness and reliability of current and projected crop commodity information. Current product offerings include national and sub-national bi-monthly yield forecast e-Reports and real-time, 24/7 on-line national and sub-national yield forecast services. All major commodity crops including grains, cereals, oilseeds and cotton are included.

To accommodate the various informational and usage requirements of our customers, GDA delivers crop statistics and analytics in various formats including tabular presentations, graphs providing trend and historical comparisons and GIS maps allowing for spatial analytics. All formats are available in both the e-Reports and online access. Online access subscription also provides downloadable and printable formats. The table below is an example of tabular data for production, yield and harvested areas.

Brazil crop assessment data

GDA yield forecasts provide a crop type specific end-of-season yield forecast per administrative unit for the current growing season and its comparison to historical yield statistics.

GIS Map, South Africa corn yield statistics GIS Map, historical cron crop yield statistics comparison GIS maps, crop seasonal metrics historical comparison
Sample GIS map of RSA Yield Forecasts and percent change over previous year and five year average, respectively

GDA relies on daily historical and current time series satellite imagery for direct observation and analysis of crop status/conditions and yield forecasts.

Over the past several years, GDA has developed a detailed, field level, spatial database that provides information on locations of individual fields and their crop planting history. High and medium resolution imagery and, whenever available, national data (such as USDA NASS CDL and FSA CLU) were used to develop the database. The database is constantly updated with current GDA crop maps and ancillary maps. Historical and current crop type and location information from the database is used to guide collection of time series observations of crop status/conditions for the yield forecasts. GDA yield forecasts rely on direct observations of crops and their change over time with remotely sensed data and take into account crop density / LAI, plant chlorophyll content, and plant water content which are measured daily by NASA’s MODIS sensor on board the Terra and Aqua satellites, every 5 days by sensors on board IRS-P6 satellite, and every 16 days by Landsat 5 TM and 7 ETM+ sensors.

GDA builds its yield forecasts on analysis of site-specific multi-temporal relationships between yield and crop conditions and are based on statistical analysis of crop conditions, crop phenology and ancillary metrics derived from current and historical imagery and historical yield statistics. Various crop critical measures are utilized in the analysis, including start of the season, end of the season, end of greenup, start of senescence, peak of the growing season, mid-senescence, length of season, rate of greenup, rate of senescence, etc.

                                                                                                             Sample Yield Trend Chart

 Historical crop yield statistics trendGDA yield forecasts are supported by a proprietary global crop database on historical yield, area, production, crop practices, progress and phenology, etc. at national and sub-national levels. GDA’s database of crop statistics is constantly being updated with new and revised crop statistics from reliable sources which increases the number of available global regions for performing yield forecasts as well as improves the yield forecast accuracy.

Yield forecasts are presented to clients in tabular, graphic, and map forms. Tabular and graphic data shows:

  • yield forecast value and forecast error range for each administrative unit
  • historical yield trend
  • 5-year average historical yield
  • percent difference between current forecast and the last year estimate
  • percent difference between current forecast and the historical average estimate

Maps present:

  • current yield forecast per administrative unit
  • percent difference between current forecast and the last year estimate
  • percent difference between current forecast and the historical average estimate.